Foundations and methods of stochastic simulation a first course / [electronic resource] :

• 作者： Nelson, Barry L.
• 其他作者：
  • Pei, Linda.
  • SpringerLink (Online service)
• 其他題名：
  • International series in operations research & management science ;
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 版本：Second edition.
• 叢書名： International series in operations research & management science,316
• 主題： Stochastic analysis. , Simulation methods. , Stochastic processes--Mathematical models. , Operations Research/Decision Theory. , Operations Research, Management Science. , Simulation and Modeling. , Statistics for Business, Management, Economics, Finance, Insurance.
• ISBN： 9783030861940 (electronic bk.) 、 9783030861933 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Chapter 1: Why Do We Simulate -- Chapter 2: Simulation Programming: Quick Start -- Chapter 3: Examples -- Chapter 4: Simulation Programming with PythonSim -- Chapter 5: Three Views of Simulation -- Chapter 6: Simulation Input -- Chapter 7: Simulation Output -- Chapter 8: Experiment Design and Analysis -- Chapter 9: Simulation Optimization and Sensitivity -- Chapter 10: Simulation for Research -- References -- Index.
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• 摘要註: This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise and accessible, providing all necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming language independent. In addition to covering the foundations of simulation and simulation programming for applications, the text prepares readers to use simulation in their research. A solutions manual for end-of-chapter exercises is available for instructors.
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